A neural network system for authenticating remote users in multi-server architecture

Authors:
Iuon-Chang Lin
Affiliations:
(Associate Professor) Department of Management Information Systems, National Chung Hsing University, 250 Kuo Kuang Road, 402 Taichung, Taiwan
Venue:
International Journal of Communication Systems
Year:
2008

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Towards secure and efficient user authentication scheme using smart card for multi-server environments

The Journal of Supercomputing

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Abstract

Authenticating the legitimacy of a remote user is an important issue in modern computer systems. In this paper, a neural network system for authenticating remote users is presented. The benefits of the proposed scheme include that (1) it is suitable for multi-server environment; (2) it does not maintain a verification table; (3) users can freely choose their password; and (4) it can withstand replay attack, off-line password guessing attack, and privileged insider attacks. Furthermore, some drawbacks, such as the users who choose the same passwords will have the same identities and unavailability for evicting a user from the system, will also be eliminated. Copyright © 2007 John Wiley & Sons, Ltd.